Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/591
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dc.contributor.authorAntoniadis, Nikolaos-
dc.contributor.authorCordy, Maxime-
dc.contributor.authorSifaleras, Angelo-
dc.contributor.authorLe Traon, Yves-
dc.contributor.editorDorronsoro, Bernabé-
dc.contributor.editorRuiz, Patricia-
dc.contributor.editorde la Torre, Juan Carlos-
dc.contributor.editorUrda, Daniel-
dc.contributor.editorTalbi, El-Ghazali-
dc.date.accessioned2020-02-17T19:08:17Z-
dc.date.available2020-02-17T19:08:17Z-
dc.date.issued2020-02-15-
dc.identifier10.1007/978-3-030-41913-4_22en_US
dc.identifier.isbn978-3-030-41912-7en_US
dc.identifier.isbn978-3-030-41913-4en_US
dc.identifier.issn1865-0929en_US
dc.identifier.issn1865-0937en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-41913-4_22en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/591-
dc.description.abstractCable overloading is one of the most critical disturbances that may occur in smart grids, as it can cause damage to the distribution power lines. Therefore, the circuits are protected by fuses so that, the overload could trip the fuse, opening the circuit, and stopping the flow and heating. However, sustained overloads, even if they are below the safety limits, could also damage the wires. To prevent overload, smart grid operators can switch the fuses on or off to protect the circuits, or remotely curtail the over-producing/over-consuming users. Nevertheless, making the most appropriate decision is a daunting decision-making task, notably due to contractual and technical obligations. In this paper, we define and formulate the overloading prevention problem as a Multiobjective Mixed Integer Quadratically Constrained Program. We also suggest a solution method using a combinatorial optimization approach with a state-of-the-art exact solver. We evaluate this approach for this real-world problem together with Creos Luxembourg S.A., the leading grid operator in Luxembourg, and show that our method can suggest optimal countermeasures to operators facing potential overloading incidents.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesCommunications in Computer and Information Scienceen_US
dc.subjectFRASCATI::Natural sciences::Mathematics::Applied Mathematicsen_US
dc.subjectFRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineeringen_US
dc.subject.otherSmart gridsen_US
dc.subject.otherElectrical safetyen_US
dc.subject.otherCombinatorial optimizationen_US
dc.subject.otherInteger linear programmingen_US
dc.subject.otherMultiobjective optimizationen_US
dc.titlePreventing overloading incidents on smart grids: A multiobjective combinatorial optimization approachen_US
dc.typeBook chapteren_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςel
local.identifier.volume1173en_US
local.identifier.firstpage269en_US
local.identifier.lastpage281en_US
local.identifier.volumetitleOptimization and Learningen_US
Appears in Collections:Department of Applied Informatics



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